Paper Info
Title
Tracking Of Arabidopsis Thaliana Root Cells In Time-Lapse Microscopy
Abstract
In vivo observation of cells in the Arabidopsis thaliana root, by time-lapse confocal microscopy, is central to biology research. The research herein described is based on large amount of image data, which must be analyzed to determine the location and state of individual cells. Automating the process of cell tracking is an important step to create tools which will facilitate the analysis of cells' evolution through time. Here we introduce a confocal tracking system designed in two stages. At the image acquisition stage, we track the area under analysis based on point-to-point correspondences and motion estimation. After image acquisition, we compute cell-to-cell correspondences through time. The final result is a temporal structured information about each cell.
Year
DOI
Venue
2008
10.1109/ICPR.2008.4761746
19TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOLS 1-6
Keywords
Field
DocType
motion estimation,tracking system,tracking,in vivo,optical microscopy,point to point,image segmentation,microscopy,shape,biology,confocal microscopy
Computer vision,Computer science,Tracking system,Arabidopsis thaliana,Image segmentation,Time-lapse microscopy,Artificial intelligence,Motion estimation,Confocal,Microscopy,Confocal microscopy
Conference
ISSN
Citations 
PageRank 
1051-4651
2
0.41
References 
Authors
5
4
Name
Order
Citations
PageRank
Monica Marcuzzo1815.53
Pedro Quelhas226121.51
Ana Maria Mendonça366143.86
Aurélio C. Campilho4117370.44